Thanks a lot !

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Hi, AFHQ-CAT dataset does not have the domain lables, therefore, it can not conduct the semi-supervised learning.
I am so sorry for the inconvenience. It should be changed into "python main.py --gpu 0 --dataset afhq_cat --output_k 10 --data_path '../data' --p_semi 0.0"

I will change ReadMe. Thank you for letting me know that!

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Thanks for your answer.
I saw you used the animal faces dataset and FOOD-101 dataset.
I can find the name of the class name of Animal Faces in code,but I can not find the FOOD-101 class name
could you please provide the ten classes' names that used for FOOD-101 dataset?

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This source code is under the refactoring, so I provide the class names directly:
baby_back_ribs
beef_carpaccio
beignets
bibimbap
caesar_salad
clam_chowder
dumplings
edamame
spaghetti_bolognese
strawberry_shortcake

These are the file of the used classes in Food-101.

I copy and paste the folders and use [i for i in range(10)].
Then, give the directory of Food-10.

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Hi,could you share the set about the Food-10 dataset?
Such as in your validation.py L52-61,you set this:

Parse images for average reference vector

x_each_cls = []
if args.dataset == 'animal_faces':
    num_tmp_val = -50
elif args.dataset == 'ffhq':
    num_tmp_val = -7000
elif args.dataset == 'lsun_car':
    num_tmp_val = -10000
else:
    num_tmp_val = 0

if I want to use food-10 to train,what should I set?
Thanks

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The Food-10 dataset is basically the same as 'animal_faces' dataset. Therefore, you should change the conditions containing 'animal_faces' into a condition having 'food-10'.

For the above example, you should change to

if args.dataset in ['animal_faces', 'food-10'] 

'food-10' might be changed as you set.

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ok~ got it~Thanks

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If it is ok, I will upload the source code without refactoring but simply applied "food-10"

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oh That's cool.
I will glad to see that~
Thanks again~

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Please check "food_added" branch. I assume that you separated a folder only for food-10.

If you have any issues, feel free to tell me.

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I got it~
Thank you very much~

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